Expert podcast audio, turned into claims you can check.
PodInsightHQ builds intelligence tools for venture and technology teams. Our system transcribes and indexes expert podcasts, finds what is actually being claimed, and links every claim back to the moment it was spoken.
Leading memory vendor has three years of backlog from today's demand alone.
Nothing appears without a source. If a claim cannot be played back, it does not ship.
- 4,821
- episodes indexed
- 35
- shows
- 4,416
- hours of transcribed audio
- 759,107
- entity mentions extracted
Verified 4 September 2026. Coverage runs from January 2025 and the library is growing quickly, expanding beyond technology and venture into healthcare, energy and public policy.
How it works
- Transcribe
- Episode audio is fetched and converted to text with speaker and word-level timing, so every sentence keeps the timecode it came from.
- Index
- Transcripts are split, embedded and stored in a vector search index, then reranked at query time so a question in plain English finds the passage that answers it.
- Extract
- A language model reads the retrieved passages and writes what is being claimed, along with the companies, people and products named. Aliases and misspellings are reconciled so the same company counts once.
- Verify
- Every claim carries the episode, the speaker and the timecode. Clicking play cuts the clip from the original audio at that moment. A claim that fails this check is dropped rather than published.
Built on AWS
The whole system runs in AWS in Frankfurt, and is designed to cost close to nothing when idle and scale up on ingestion days.
- Speech to text
Amazon Transcribeconverts every episode to timed text.- Search
Amazon OpenSearch Serverlessholds the vector index, with embedding and reranking models run throughAmazon Bedrock.- Language models
Amazon Bedrockrunning Claude for claim extraction, entity extraction and written briefs.- Pipeline and storage
AWS LambdaandAmazon S3handle ingestion, audio clipping and raw storage ineu-central-1.
Where we are
PodInsightHQ is a private build. The system is running against the full library, and the intelligence layer is in active development. It is not open for sign-up, and there is nothing to buy yet. If you want to talk about it, email founder@podinsighthq.com.